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Brain metastasis-related microRNAs in patients with advanced breast cancer

Authors :
Makoto Ohno
Hiromi Sakamoto
Juntaro Matsuzaki
Jun Sato
Satoko Takizawa
Junpei Kawauchi
Yusuke Yamamoto
Takahiro Ochiya
Kenji Tamura
Akihiko Shimomura
Yoshitaka Narita
Source :
PLoS ONE, PLoS ONE, Vol 14, Iss 10, p e0221538 (2019)
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

Brain metastasis is a major distant metastasis occurring in patients with advanced breast cancer, and is associated with poor prognosis. MicroRNAs (miRNAs) have a strong influence on various oncological functions and have been reported as potential biomarkers for detecting distant metastasis. Specific biomarkers and unique miRNAs for brain metastasis have yet to be reported. The aim of this study was to identify novel miRNAs in serum, to assist in the diagnosis of brain metastasis in patients with advanced breast cancer. We retrospectively analyzed the medical records of patients with breast cancer and collected clinical data. In addition, we evaluated serum miRNA profiles in patients with breast cancer, with and without brain metastasis, using high-sensitivity microarrays. All patients underwent computed tomography or magnetic resonance imaging brain imaging tests. A total of 51 serum samples from patients with breast cancer and brain metastasis, stored in the National Cancer Center Biobank, were used, and 28 serum samples were obtained from controls without brain metastasis. Two miRNAs, miR-4428 and miR-4480, could significantly distinguish patients with brain metastasis, with area under the receiver operating characteristic curve (AUC) values of 0.779 and 0.781, respectively, while a combination of miR-4428 and progesterone receptor had an AUC value of 0.884. No significant correlations were identified between the expression levels of these two miRNAs in serum and clinical data. We conclude that serum miR-4428 and miR-4480 may be useful as biomarkers for predicting brain metastasis in patients with breast cancer.

Details

ISSN :
19326203
Volume :
14
Database :
OpenAIRE
Journal :
PLOS ONE
Accession number :
edsair.doi.dedup.....0630c75512213cd26a715a82dd9f6b09